Recent works [1]}, [2]}, [3]}, [4]}, [5]}, [6]} mainly follow a two-stage scheme, i.e., first generating all candidate objects in 3D scene and then selecting the most matched one. These two-stage approaches in 3D visual grounding are tailored from 2D visual grounding methods [7]}, [8]}, which have not considered the unique property of 3D data. Therefore, in this paper, we bring the community's attention back to studying the intrinsic property of 3D data to break through the 3D visual grounding research.
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